CN112598758A

CN112598758A - Image processing method, mobile terminal and computer storage medium

Info

Publication number: CN112598758A
Application number: CN202011140337.4A
Authority: CN
Inventors: 熊竹; 李风光
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2020-10-22
Filing date: 2020-10-22
Publication date: 2021-04-02

Abstract

The application provides an image processing method, which comprises the following steps: determining a first image to be processed; performing pixel parameter processing on the first image to be processed according to image adjusting operation to determine a target pixel adjusting mapping relation according to the pixel parameter processing; determining a second image to be processed; and determining a target replacement pixel corresponding to the pixel of the second image to be processed according to the target pixel adjustment mapping relation, and processing. By the method, the pixel value is calculated faster and more accurately in a table look-up mode than a single pixel value, and user experience and program running efficiency are improved.

Description

Image processing method, mobile terminal and computer storage medium

Technical Field

The present application relates to the field of electronic technologies, and in particular, to an image processing method, a mobile terminal, and a computer storage medium.

Background

In the mobile phone manufacturer, algorithm and software development in the field of camera filters are the most frequently encountered problems, and color filters are also the most important. In the past, an image in an RBG space is converted into an HSV space, and after various algorithm color matching operations are carried out on the image in the HSV space, the HSV space is converted into an RGB space. In fact, however, it is a very tedious process to call out a good looking filter through mathematical transformations and algorithms. In addition, a certain precision loss can be brought in the conversion process of RGB- > HSV- > RGB.

Disclosure of Invention

The application aims to provide an image processing method, a mobile terminal and a computer storage medium, which can improve the running speed of a program in the process of image processing through a color filter.

In order to achieve the above object, a first aspect of embodiments of the present application provides an image processing method, including: determining a first image to be processed; performing pixel parameter processing on the first image to be processed according to image adjusting operation to determine a target pixel adjusting mapping relation according to the pixel parameter processing; determining a second image to be processed; and determining a target replacement pixel corresponding to the pixel of the second image to be processed according to the target pixel adjustment mapping relation, and processing.

Optionally, the step of performing pixel parameter processing on the first image to be processed according to an image adjusting operation to determine a target pixel adjustment mapping relationship according to the pixel parameter processing includes:

acquiring a standard color chart image, wherein the standard color chart image comprises color representation in computer vision;

determining a pixel adjustment parameter of the first image to be processed according to image adjustment operation;

and processing the standard color table image according to the pixel adjustment parameter to obtain a color mapping table.

Optionally, the standard color chart image has a size parameter of 256 × 16, wherein the standard color chart contains all color representations in computer vision, the standard color chart image includes 256 image cells, the number of the image cells represents a change in R value, and each of the image cells represents a combination of B and G.

Optionally, the standard color chart image is 52 x 2704 in size, and the standard color chart contains a particular key color value in a color space in computer vision.

Optionally, the step of processing the standard color table image according to the pixel adjustment parameter to obtain a color mapping table includes:

when a target color corresponding to the pixel adjustment parameter exists in the standard color table image, establishing a corresponding color mapping relation according to the target color;

and when the color corresponding to the pixel adjustment parameter does not exist in the standard color chart image, generating a target color in an interpolation mode, and establishing a corresponding color mapping relation according to the target color.

Optionally, the interpolation means includes at least one of: linear interpolation, bilinear interpolation, and trilinear interpolation.

Optionally, the step of determining a target replacement pixel corresponding to a pixel of the second image to be processed according to the target pixel adjustment mapping relationship, and performing processing includes:

determining a second to-be-processed pixel value in the second to-be-processed image;

and determining a replacement pixel value corresponding to the second pixel value to be processed by inquiring the color mapping table so as to replace the second pixel value to be processed in the second image to be processed.

Optionally, the method further comprises:

determining that the color mapping table does not have mapping corresponding to the second pixel value to be processed;

and carrying out interpolation processing on the second pixel to be processed to obtain a replacement pixel value.

A second aspect of an embodiment of the present application provides a mobile terminal, including a processor and a memory;

the memory is used for storing an executable program;

the processor is used for executing the executable program to realize the image processing method.

A third aspect of the embodiments of the present application provides a computer storage medium, on which an executable program is stored, and the executable program is executed to implement the image processing method described above.

The embodiment of the application has the following beneficial effects:

according to the image processing method, the mobile terminal and the computer storage medium in the embodiment of the application, in the process of carrying out color mixing beautification on the first image to be processed according to the image adjusting operation, the pixels of the first image to be processed are processed to finish the image beautification, meanwhile, a target pixel adjusting mapping relation is generated on the beautified pixel processing result, and the target pixel adjusting mapping relation of each pixel value in the first image to be processed and the beautified pixel value is established, so that when the second image to be processed is processed through the target pixel adjusting mapping relation, the replacement pixel value corresponding to the pixel value in the second image to be processed is determined in a mode of inquiring the color mapping relation, and the image pixel adjustment is finished. By the method, the pixel value is calculated faster and more accurately in a table look-up mode than a single pixel value, and user experience and program running efficiency are improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of a hardware structure of a mobile terminal according to an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a wireless communication system of a mobile terminal according to an embodiment of the present application;

fig. 3 is a flowchart of a method of processing an image according to an embodiment of the present application;

FIG. 4 is a schematic diagram of a standard color chart image provided in an embodiment of the present application;

FIG. 5 is a diagram illustrating linear interpolation provided by an embodiment of the present application;

FIG. 6 is a schematic diagram of bilinear interpolation provided in the embodiments of the present application

FIG. 7 is a schematic diagram of tri-linear interpolation provided by an embodiment of the present application;

fig. 8 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for the convenience of description of the present application, and have no specific meaning by themselves. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present application may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like. The following description will be given taking a mobile terminal as an example, and it will be understood by those skilled in the art that the configuration according to the embodiment of the present application can be applied to a fixed type terminal in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present application, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The following describes each component of the mobile terminal in detail with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present application, a communication network system on which the mobile terminal of the present application is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present disclosure, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present application is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, various embodiments of the method of the present application are proposed.

Fig. 3 is a flowchart of an image processing method according to an embodiment of the present disclosure. In this embodiment, the image processing method may be applied to the mobile terminal shown in fig. 1 or fig. 2, and it is understood that the image processing method may also be applied to electronic devices such as a tablet, an electronic book, and the like. The image processing method comprises the following steps:

step 310, determining a first image to be processed;

step 320, performing pixel parameter processing on the first image to be processed according to an image adjusting operation to determine a target pixel adjusting mapping relation according to the pixel parameter processing;

step 330, determining a second image to be processed;

step 340, determining a target replacement pixel corresponding to the pixel of the second image to be processed according to the target pixel adjustment mapping relationship, and processing.

Through the embodiment, the pixel value is calculated faster and more accurately in a table look-up mode than a single pixel value, and user experience and program running efficiency are improved.

The present embodiment is described in further detail below:

in step 310, a first image to be processed is determined.

Specifically, in an optional implementation manner, the first image to be processed is an image that needs to be beautified, for example, photo processing software provided on the mobile terminal provides a corresponding image editing function for the user to perform image processing. In an alternative embodiment, the first image to be processed is an image for developing and manufacturing an image filter, and the image is processed for subsequent filter development purposes.

In step 320, pixel parameter processing is performed on the first image to be processed according to an image adjusting operation, so as to determine a target pixel adjustment mapping relationship according to the pixel parameter processing.

Specifically, the image adjusting operation is an operation for adjusting a display parameter of an image, and may be a combination of a series of operations, for example, adjusting different display parameters of different regions. In an optional embodiment, an image editing interface is provided through the mobile terminal, and a touch operation is received through the image editing interface to adjust different display parameters, such as brightness, contrast, saturation, and the like. In an alternative embodiment, the adjustment of the image display parameters is performed by image processing software on the computer device, for example, photoshop, etc.

In the implementation process, the color value of each pixel point on the first image to be processed is determined, and the pixel parameter of each pixel point is determined according to the image adjustment operation, for example, the R value of the pixel point is adjusted. And further obtaining an initial value and an adjusted replacement value of a pixel at a certain point of the image to be processed, and obtaining a target pixel adjustment mapping relation by storing the corresponding relation.

In this embodiment, step S320 may include the steps of:

step S3201, acquiring a standard color table image, the standard color table image including color representation in computer vision;

step S3202, determining a pixel adjustment parameter of the first image to be processed according to an image adjustment operation;

step S3203, processing the standard color table image according to the pixel adjustment parameter to obtain a color mapping table.

In step S3201, in an alternative embodiment, the size parameter of the standard color chart image is 256 × 16, wherein the standard color chart image includes representations of all colors in computer vision, the standard color chart image includes 256 image cells, the number of the image cells represents a change in the R value, and each image cell represents a combination of B and G. That is to say, the part corresponding to the color value of each pixel point on the first image to be processed can be found in the standard color chart image.

In an alternative embodiment, in order to reduce the memory occupied by the program during running, the standard color chart image may be reduced appropriately, for example, the size of the standard color chart image is 52 × 2704, the standard color chart contains specific key color values in the color space in computer vision, and the calculation may be performed by interpolation method for the table without color mapping.

In step S3202, the first image to be processed is color-mixed through an image adjusting operation, and the operation steps and related parameters are recorded to determine an adjusting parameter of each pixel point of the first image to be processed.

In step S3203, the adjustment parameters are applied to the standard color chart image to be saved as the color mapping table, so that the development or saving of the color filter can be rapidly completed.

In an alternative embodiment, this can be achieved by:

step S32031, when a target color corresponding to the pixel adjustment parameter exists in the standard color table image, establishing a corresponding color mapping relationship according to the target color;

step S32032, when there is no color corresponding to the pixel adjustment parameter in the standard color table image, generating a target color by interpolation, and establishing a corresponding color mapping relationship according to the target color.

In step S32031, as described above, the step of adjusting the first to-be-processed image and the related parameters are recorded, so that the color value of a pixel having a certain color value in the first to-be-processed image after the image adjustment operation can be determined, and then, since the color values of all or part of the pixels in the first to-be-processed image are stored in the standard color chart image, the same color value, that is, the same target color, can be obtained after the same step of adjusting the color value and the related parameters are received in the standard color chart image. And acquiring the corresponding relation of color values of each pixel in the standard color chart image before and after processing through image processing software.

In step S32032, the color values included in the standard color chart image may include all or part of the interpolation manners including at least one of the following: linear interpolation, bilinear interpolation, and trilinear interpolation. For example, as follows: presence mapping

To find

As shown in fig. 5, linear interpolation: p (t) ═ a + (B-a) t. As shown in fig. 6, bilinear interpolation: p ═ c00(1-tx) (1-ty) + c10tx (1-ty) + c01(1-tx) ty + c11 txty. As shown in fig. 7, the idea is similar to the two interpolation methods, and the tri-linear interpolation implements interpolation step by reducing dimension of slices. In an optional embodiment, when only a specific key color value is included in the standard color table image, only the color value existing in the standard color table is processed, and the color value not existing is not interpolated.

Through the implementation mode, a filter developer or a user can customize a new color filter effect in an express way.

In step 330, a second to-be-processed image is determined.

In particular, the second image to be processed refers to an image different from the first image to be processed, and in practical cases, the second image to be processed is generally an image that the user wants to apply the color filter defined by the foregoing steps.

In step 340, a target replacement pixel corresponding to a pixel of the second image to be processed is determined according to the target pixel adjustment mapping relationship, and processing is performed.

Specifically, initial color values and corresponding replacement color values are saved in the target pixel adjustment mapping relation, corresponding replacement color values are found according to the target pixel adjustment relation through the initial color values in the image to be processed, replacement is carried out, color filter processing is carried out in a table look-up mode, the existing mode of calculating pixel values through a single mode such as mathematical calculation is replaced, and faster and more accurate color filter development or self-definition are achieved.

In an alternative embodiment, step S340 may include the following steps:

step 3401, determining a second to-be-processed pixel value in the second to-be-processed image;

step S3402, determining a replacement pixel value corresponding to the second to-be-processed pixel value by querying the color mapping table, so as to replace the second to-be-processed pixel value in the second to-be-processed image.

In an optional embodiment, step S340 may further include the following steps:

step 3403, determining that the color mapping table does not have mapping corresponding to the second pixel value to be processed;

and step 3404, performing interpolation processing on the second pixel to be processed to obtain a replacement pixel value.

It should be noted that the interpolation-mode-related calculation features related to the foregoing calculation scheme are also applicable to the present embodiment, and therefore are not described again.

In the existing color filter self-defining process, the final result of all complex algorithm calculation processes is to obtain a color mapping relation, and the final result is mathematicalThe above can be expressed as:

in the application, the scheme of realizing color matching through mathematics and algorithm is avoided through the color mapping table, and the solution of solving color is avoided

The process of the specific expression not only greatly improves the development efficiency of the color filter, but also improves the program running speed in a table look-up mode.

Fig. 8 is a schematic structural component diagram of the mobile terminal 100 according to an embodiment of the present application, where the mobile terminal 100 includes: a touch panel 1071; a processor 110; a memory 109 connected to the processor 110, wherein the memory 109 contains a control instruction, and when the processor 110 reads the control instruction, the mobile terminal 100 is controlled to implement the following steps:

determining a first image to be processed; performing pixel parameter processing on the first image to be processed according to image adjusting operation to determine a target pixel adjusting mapping relation according to the pixel parameter processing; determining a second image to be processed; and determining a target replacement pixel corresponding to the pixel of the second image to be processed according to the target pixel adjustment mapping relation, and processing.

Optionally, the method further comprises:

According to the mobile terminal, in the process of carrying out color mixing and beautifying on the first image to be processed according to the image adjusting operation, the pixels of the first image to be processed are processed to finish the image beautifying, meanwhile, a target pixel adjusting mapping relation is generated according to the beautified pixel processing result, and the target pixel adjusting mapping relation of each pixel value in the first image to be processed and the beautified pixel value is established, so that when the second image to be processed is processed through the target pixel adjusting mapping relation, the replacement pixel value corresponding to the pixel value in the second image to be processed is determined through the mode of inquiring the color mapping relation, and the image pixel adjustment is finished. By the method, the pixel value is calculated faster and more accurately in a table look-up mode than a single pixel value, and user experience and program running efficiency are improved.

An embodiment of the present application further provides a computer storage medium, where an executable program is stored in the computer storage medium, and when the executable program is executed, the following steps are implemented:

Optionally, the method further comprises:

According to the computer storage medium, in the process of carrying out color mixing and beautifying on a first image to be processed according to an image adjusting operation, pixels of the first image to be processed are processed to finish image beautifying, meanwhile, a target pixel adjusting mapping relation is generated according to a beautified pixel processing result, and a target pixel adjusting mapping relation of each pixel value in the first image to be processed and the beautified pixel value is established, so that when a second image to be processed is processed through the target pixel adjusting mapping relation, a replacement pixel value corresponding to the pixel value in the second image to be processed is determined in a color mapping relation inquiring mode, and image pixel adjustment is finished. By the method, the pixel value is calculated faster and more accurately in a table look-up mode than a single pixel value, and user experience and program running efficiency are improved.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. An image processing method, comprising:

determining a first image to be processed;

performing pixel parameter processing on the first image to be processed according to image adjusting operation to determine a target pixel adjusting mapping relation according to the pixel parameter processing;

determining a second image to be processed;

and determining a target replacement pixel corresponding to the pixel of the second image to be processed according to the target pixel adjustment mapping relation, and processing.

2. The method according to claim 1, wherein the step of performing pixel parameter processing on the first image to be processed according to an image adjusting operation to determine a target pixel adjustment mapping relationship according to the pixel parameter processing comprises:

3. The method of claim 2, wherein the standard color chart image has a size parameter of 256 x 16, wherein the standard color chart contains representations of all colors in computer vision, wherein the standard color chart image comprises 256 image cells, wherein the number of image cells represents a change in R value, and wherein each of the image cells represents a combination of B and G.

4. The method of claim 2 wherein the standard color chart image is 52 x 2704 in size, the standard color chart containing specific key color values in color space in computer vision.

5. The method of claim 4, wherein the step of processing the standard color table image according to the pixel adjustment parameter to obtain a color mapping table comprises:

6. The method of claim 5, wherein the interpolation means comprises at least one of: linear interpolation, bilinear interpolation, and trilinear interpolation.

7. The method according to claim 2, wherein the step of determining a target replacement pixel corresponding to a pixel of the second image to be processed according to the target pixel adjustment mapping relationship, and performing the processing, includes:

8. The method of claim 2, further comprising:

9. A mobile terminal, characterized in that the mobile terminal comprises a processor and a memory;

the memory is used for storing an executable program;

the processor is configured to execute the executable program to implement the image processing method according to any one of claims 1 to 8.

10. A computer storage medium having stored thereon an executable program which when executed implements the image processing method of any one of claims 1 to 8.